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Chaos Theory for Evolutionary Algorithms Researchers

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dc.title Chaos Theory for Evolutionary Algorithms Researchers en
dc.contributor.author Celikovsky, Sergej
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Evolutionary Algorithms and Chaotic Systems
dc.identifier.isbn 978-3-642-10706-1
dc.date.issued 2010
dc.event.location Heidelberg
utb.event.state-en Germany
utb.event.state-cs Německo
dc.type bookPart
dc.language.iso en
dc.publisher Springer-Verlag. Berlin
dc.subject Evolutionary algorithms en
dc.subject chaos en
dc.subject control en
dc.subject information en
dc.description.abstract This chapter deals with chaotic systems. Based on the characterization of deterministic chaos, universal features of that kind of behavior are explained. It is shown that despite the deterministic nature of chaos, long term behavior is unpre- dictable. This is called sensitivity to initial conditions. We further give a concept of quantifying chaotic dynamics: the Lyapunov exponent. Moreover, we explain how chaos can originate from order by period doubling, intermittence, chaotic transients and crises. In the second part of the chapter we discuss different examples of sys- tems showing chaos, for instance mechanical, electronic, biological, meteorological, algorithmical and astronomical systems. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006045
utb.identifier.rivid RIV/70883521:28140/10:63508871!RIV11-GA0-28140___
utb.identifier.obdid 43864634
utb.source c-riv
dc.date.accessioned 2016-04-28T10:37:38Z
dc.date.available 2016-04-28T10:37:38Z
dc.description.sponsorship P(GA102/08/0186), P(GA102/09/1680), Z(AV0Z10750506), Z(MSM7088352101)
dc.format.extent 521
utb.identifier.utb-sysno 63240
utb.identifier.nkp 5222916
utb.contributor.internalauthor Zelinka, Ivan
riv.obor IN
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